Reactable

Reactable

Indie Hackers

Self-learning AI that helps you make better content. Making

When working on my own social media posts I realised that there are some parts that are repetitive and can be automated. That leaves me more time to keep my personal, human touch in the posts and do them faster.

Share card

Actual performance

1followers
$540MRR/mo
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
29%29% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

I'
I'm learning VIM and making a game out of it66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm learning VIM and making a game out of it

Hacker News9
Yn
Ynox – Self-learning AI assistant that thinks, evolves and helps46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ynox – Self-learning AI assistant that thinks, evolves and helps

Hacker News3
Ma
Making GNU Make a better Task Runner62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making GNU Make a better Task Runner

Hacker News98
Sk
Skillmaxxing – make every agent self-evolving32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Skillmaxxing – make every agent self-evolving

Hacker News2
Buxfer
Buxfer71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Buxfer helps you make better spending decisions.

Indie Hackerscommitment-full-time
Ma
Making explainability algorithms more robust with GANs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making explainability algorithms more robust with GANs

Hacker News2
Ma
Making a Cypherpunk Loot Derivative52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making a Cypherpunk Loot Derivative

Hacker News4
Ma
Making your standups more joyful with Zest52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making your standups more joyful with Zest

Hacker News4
My
My Q&A with Neal Stephenson on making the Metaverse himself52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My Q&A with Neal Stephenson on making the Metaverse himself

Hacker News5
Ma
Making of an HTML5 cube timelapse64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Making of an HTML5 cube timelapse

Hacker News4